About
Hello! I am an assistant professor of data science and business analytics at KEDGE Business School.
Research Interest
My research focuses on data-driven decision making under uncertainty. I seek to provide both methodologies and practical solutions that combine tools and concepts from machine learning, operations research, and geoinformatics. From an application perspective, my research focuses on supply chain management and logistics.
- Decision-focused learning
- Predictive & prescriptive analytics
- Supply chain management
- Geoinformatics
- Simulation
Selected Publication
- Coupling simulation and machine learning for predictive analytics in supply chain management, International Journal of Production Research, 2024
Tianyuan ZHANG, Matthieu LAURAS, Gregory ZACHAREWICZ, Souad RABAH, Frederick BENABEN - Snow cover monitoring with Chinese Gaofen-4 PMS imagery and the restored snow index (RSI) method: case studies, Remote Sensing, 2018
Tianyuan ZHANG, Huazhong REN, Qiming QIN, Yuanheng SUN - Surface water extraction from Landsat 8 OLI imagery using the LBV transformation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
Tianyuan ZHANG, Huazhong REN, Qiming QIN, Chengye ZHANG, Yuanheng SUN
Education
- Ph.D. in Cartology & Geographic Information System
Peking University (2015 - 2020) - B.E. in Information Engineering (Instrument & Optoelectronic)
Beihang University (2011 - 2015)
News
- Linda BEN ISMAIL starts her Ph.D. subject “Using data analytics for the design of robust supply chains” supervised by Walid KLIBI and me.
- The manuscript of my paper “Coupling simulation and machine learning for predictive analytics in supply chain management” (Joint work with Matthieu LAURAS, Gregory ZACHAREWICZ, Souad RABAH, Frederick BENABEN) is available here.
- I start as an Assistant Professor of data science and business analytics at KEDGE Business School.